Automatically labeling of Brainstem Auditory Evoked Potential based on vector algorithm

机译：基于矢量算法的脑干听觉诱发电位自动标记

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Brainstem Auditory Evoked Potential (BAEP) is one of the widely-used evoked potentials in clinical application. For many applications such as auditory threshold estimation and surgical monitoring, automatic analysis of BAEP waveform is required to provide BAEP determination threshold for clinical analysis. This paper describes one new vector algorithm which is used to perform automatic labeling of BAEP thresholds on collected BAEP data, and experiment results have shown that label accuracy is more than 90% under a stimulus intensity of 75dBnHL.

机译：脑干听觉诱发电位（BAEP）是临床应用中广泛使用的诱发电位之一。对于听觉阈值估计和手术监测等许多应用，需要对BAEP波形进行自动分析以为临床分析提供BAEP确定阈值。本文介绍了一种新的矢量算法，该算法可用于对收集到的BAEP数据进行BAEP阈值的自动标记，实验结果表明，在75dBnHL的刺激强度下，标签的准确性超过90％。

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《2011 4th International Congress on Image and Signal Processing》|2011年|p.2206-2209|共4页
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Sun Ying; Chen Zhaoxue; Lu Hongwei;
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中图分类计算技术、计算机技术;
关键词
Automatically Labeling of Threshold; Brainstem Auditory Evoked Potential; Vector Algorithm;

机译：阈值自动标记;脑干听觉诱发电位;矢量算法;

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Automatically labeling of Brainstem Auditory Evoked Potential based on vector algorithm

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